A novel image encryption algorithm based on the chaotic system and DNA computing

Xiuli Chai (), Zhihua Gan (), Yang Lu (), Yiran Chen () and Daojun Han
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Xiuli Chai: School of Computer and Information Engineering, Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, P. R. China
Zhihua Gan: School of Software, Henan University, Kaifeng 475004, P. R. China
Yang Lu: Research Department, Henan University, Kaifeng 475004, P. R. China
Yiran Chen: Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA
Daojun Han: School of Computer and Information Engineering, Henan University, Kaifeng 475004, P. R. China

International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 05, 1-24

Abstract: A novel image encryption algorithm using the chaotic system and deoxyribonucleic acid (DNA) computing is presented. Different from the traditional encryption methods, the permutation and diffusion of our method are manipulated on the 3D DNA matrix. Firstly, a 3D DNA matrix is obtained through bit plane splitting, bit plane recombination, DNA encoding of the plain image. Secondly, 3D DNA level permutation based on position sequence group (3DDNALPBPSG) is introduced, and chaotic sequences generated from the chaotic system are employed to permutate the positions of the elements of the 3D DNA matrix. Thirdly, 3D DNA level diffusion (3DDNALD) is given, the confused 3D DNA matrix is split into sub-blocks, and XOR operation by block is manipulated to the sub-DNA matrix and the key DNA matrix from the chaotic system. At last, by decoding the diffused DNA matrix, we get the cipher image. SHA 256 hash of the plain image is employed to calculate the initial values of the chaotic system to avoid chosen plaintext attack. Experimental results and security analyses show that our scheme is secure against several known attacks, and it can effectively protect the security of the images.

Keywords: Image encryption; chaotic system; deoxyribonucleic acid (DNA); security analyses (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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DOI: 10.1142/S0129183117500693

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